Fusion of auxiliary information for multi-modal biometrics authentication

Kar Ann Toh, Wei Yun Yau, Eyung Lim, Lawrence Chen, Chin Hon Ng

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

In this paper, we propose to use the multivariate polynomials for fusion of fingerprint and voice verification systems. On top of using just the fingerprint and voice data for fusion, additional information such as fingerprint image quality and deliberate control inputs are also integrated within the same framework. Numerical experiments using three multivariate polynomial models show significant improvements of matching performance as compared to the optimal weighting method in terms of receiver operating characteristic curves.

Original languageEnglish
Pages (from-to)678-685
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3072
Publication statusPublished - 2004 Dec 1

Fingerprint

Biometric Identification
Auxiliary Information
Dermatoglyphics
Biometrics
Fingerprint
Authentication
Fusion
Multivariate Polynomials
Information fusion
Image quality
Polynomial Model
Information Fusion
Multivariate Models
Receiver Operating Characteristic Curve
Polynomials
Statistical Models
ROC Curve
Quality Control
Image Quality
Weighting

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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Fusion of auxiliary information for multi-modal biometrics authentication. / Toh, Kar Ann; Yau, Wei Yun; Lim, Eyung; Chen, Lawrence; Ng, Chin Hon.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3072, 01.12.2004, p. 678-685.

Research output: Contribution to journalArticle

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